Detecting Stay Areas from a User’s Mobile Phone Data for Urban Computing

  • Hui Wang
  • Ning Zhong
  • Zhisheng Huang
  • Jiajin Huang
  • Erzhong Zhou
  • Runqiang Du
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8610)

Abstract

Nowadays, mobile phones are often used as an attractive option for large-scale sensing of human behavior, providing a source of real and reliable data for urban computing. As it is known to all, a user’s behavior often happened at some places where the user stayed over a certain time interval for a trip. For understanding a user’s behavior effectively, we need to detect the places where the user stayed over a certain time interval and we call these places stay areas. In this paper, we propose a method for detecting the stay areas from a user’s mobile phone data. The proposed method can tackle the complicated situations that the general method cannot deal with effectively. Through experimental evaluation, the proposed method is shown to deliver excellent performance.

Keywords

Stay Area Mobile Phone Data Urban Computing 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Hui Wang
    • 1
  • Ning Zhong
    • 1
    • 2
  • Zhisheng Huang
    • 1
    • 3
  • Jiajin Huang
    • 1
  • Erzhong Zhou
    • 1
  • Runqiang Du
    • 1
  1. 1.International WIC InstituteBeijing University of TechnologyBeijingChina
  2. 2.Dept. of Life Science and InformaticsMaebashi Institute of TechnologyMaebashiJapan
  3. 3.Dept. of Computer ScienceVrije University of AmsterdamAmsterdamThe Netherlands

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